Neurophysiological subtyping of schizophrenia reveals a reproducible phenotype with temporoparietal circuit disruptions.
Overview
- Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine Shanghai China
- Shanghai Key Laboratory of Mental Disorders Translational Research Brain Health Institute National Center for Mental Disorders Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine and School of Psychology Shanghai China
- Zhejiang Key Laboratory of Drug Addiction & Brain Health, Department of Psychiatry Affiliated Kangning Hospital of Ningbo University (Ningbo Kangning Hospital) Ningbo Zhejiang China
- School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong China
- Shanghai Key Laboratory of Emotions and Affective Disorders Songjiang Hospital and Songjiang Research Institute Shanghai Jiao Tong University School of Medicine Shanghai China
- Department of Psychiatry The Second People's Hospital of Lishui Lishui Zhejiang China
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research Massachusetts Institute of Technology Cambridge Massachusetts USA
- Bengbu Medical University Bengbu Anhui China
Abstract
Background: Heterogeneity in schizophrenia (SCZ) remains a major obstacle to the development of effective treatment.
Aims: This study aimed to identify reproducible neurobiological subtypes of SCZ using source‐localised, high‐density resting‐state electroencephalography (EEG) functional connectivity patterns.
Methods: We analysed high‐density resting‐state EEG data from a discovery dataset of 86 patients with SCZ and an independent replication dataset of 89 patients. We applied a sparse k‐means clustering algorithm to power envelope correlations, computed across five frequency bands and two resting conditions in the source space. Subtype stability was rigorously assessed using split‐half validation and cross‐cohort replication.
Results: The analysis consistently identified two reproducible SCZ subtypes. One subtype was characterised by significant temporoparietal disconnection compared with healthy controls, while the second subtype exhibited a relatively preserved functional connectivity pattern. These subtypes were stable within the cohort and successfully replicated in the independent dataset. Crucially, connectivity features significantly predicted symptom severity, but this association was specific to the more disconnected subtype.
Conclusions: Source‐space EEG connectivity enables the identification of robust, reproducible, and mechanistically distinct subtypes of SCZ. These findings highlight underlying neurobiological heterogeneity that is not captured by standard clinical assessments and suggest that these subtypes may provide a basis for future biomarker development and patient stratification studies.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Code
The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.
The paper's code and data availability statement is in the Data section.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.
Data
No dataset and no data link were found in the paper.
Data availability statement
The data and code that support the findings of this study are available from the corresponding author upon reasonable request.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 6 funders, 43 references.
Cite
This paper
Ding, Y., Li, X., Liu, J., Jin, G., Tian, W., Yuan, T., Wu, W., & Zhou, D. (2026). Neurophysiological subtyping of schizophrenia reveals a reproducible phenotype with temporoparietal circuit disruptions. General psychiatry, 39(5), e70047. https://
BibTeX
@article{ding2026neuroph
author = {Ding, Yue and Li, Xingxing and Liu, Junlin and Jin, Guolin and Tian, Weiwen and Yuan, Tifei and Wu, Wei and Zhou, Dongsheng},
title = {{Neurophysiological subtyping of schizophrenia reveals a reproducible phenotype with temporoparietal circuit disruptions}},
journal = {General psychiatry},
year = {2026},
month = sep,
volume = {39},
number = {5},
pages = {e70047},
publisher = {Shanghai Mental Health Center},
issn = {2517-729X},
doi = {10.1002/
url = {https://
pmid = {42713451},
pmcid = {PMC13552662}
}
RIS
TY - JOUR
AU - Ding, Yue
AU - Li, Xingxing
AU - Liu, Junlin
AU - Jin, Guolin
AU - Tian, Weiwen
AU - Yuan, Tifei
AU - Wu, Wei
AU - Zhou, Dongsheng
TI - Neurophysiological subtyping of schizophrenia reveals a reproducible phenotype with temporoparietal circuit disruptions
T2 - General psychiatry
J2 - Gen Psychiatr
PY - 2026
DA - 2026/
VL - 39
IS - 5
SP - e70047
SN - 2517-729X
PB - Shanghai Mental Health Center
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1002/
"type": "article-journal",
"title": "Neurophysiological subtyping of schizophrenia reveals a reproducible phenotype with temporoparietal circuit disruptions",
"container-title": "General psychiatry",
"author": [
{
"family": "Ding",
"given": "Yue"
},
{
"family": "Li",
"given": "Xingxing"
},
{
"family": "Liu",
"given": "Junlin"
},
{
"family": "Jin",
"given": "Guolin"
},
{
"family": "Tian",
"given": "Weiwen"
},
{
"family": "Yuan",
"given": "Tifei"
},
{
"family": "Wu",
"given": "Wei"
},
{
"family": "Zhou",
"given": "Dongsheng"
}
],
"container-title-short":
"volume": "39",
"issue": "5",
"page": "e70047",
"DOI": "10.1002/
"PMID": "42713451",
"PMCID": "PMC13552662",
"ISSN": "2517-729X",
"publisher": "Shanghai Mental Health Center",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
9,
8
]
]
}
}
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1007/s10548-026-01249-9
- What Static Connectivity Misses: Dynamic Alpha-Band Brain Network States in First-Episode Psychosis.Journal: Brain topographyIn common: schizophrenia / psychosis, EEG, 4 references
- [2] doi:10.1371/journal.pone.0351872 [code]
- Decoding visual object recognition from EEG signals.Journal: PloS oneIn common: EEG, 4 references
- [3] doi:10.1038/s41598-026-49773-9 [code]
- Large-scale brain network interactions differentiate sweet, sour, and salty food cues during visual processing.Journal: Scientific reportsIn common: EEG, 4 references
- [4] doi:10.1038/s41746-026-02948-0
- Individualized prediction of heroin cue-induced craving using task-based EEG functional connectivity.Journal: NPJ digital medicineIn common: EEG, 4 references
- [5] doi:10.3390/bioengineering13040430 [code]
- Configurable Modular EEG Classification Framework with Multiscale Features and Ensemble Learning: A Reproducible Evaluation for Schizophrenia Detection.Journal: Bioengineering (Basel, Switzerland)In common: schizophrenia / psychosis, EEG, 2 references
- [6] doi:10.1111/ejn.70615
- Sleep Oscillations Across Cortical, Subcortical and Cerebellar Structures in Magnetoencephalography.Journal: The European journal of neuroscienceIn common: 3 references
- [7] doi:10.1101/gr.280817.125 [code]
- RECOMBINE identifies recurrent composite markers of cell types and states.Journal: Genome researchIn common: 2 references
- [8] doi:10.1162/imag.a.1202
- Recurring transient brain-wide co-activation patterns from EEG spatially resembling time-averaged resting-state networks.Journal: Imaging neuroscience (Cambridge, Mass.)In common: EEG, 3 references
- [9] doi:10.1111/psyp.70318
- EEG Based Decoding of the Perception and Regulation of Taboo Words.Journal: PsychophysiologyIn common: EEG, 2 references
- [10] doi:10.1093/cercor/bhag077 [code]
- The longitudinal development of intrinsic timescales in infancy and their relation to alpha brain rhythm.Journal: Cerebral cortex (New York, N.Y. : 1991)In common: EEG, 2 references
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.